TRUE NORTHAI INTELLIGENCE, APPLIED

Give customers answers they can use

Customer service AI

Build AI into selected service tasks, with approved answers, useful case records and a clear route to a person.

Discuss this serviceExplore the scope

When repeated questions consume the day

For customer service and service operations leaders whose teams spend time answering repeat questions or rebuilding context across channels.

True North AI implements AI for repeat questions, case summaries and service request routing. We connect approved knowledge with the relevant help desk or CRM where access allows. Each workflow has a defined resolution standard, human handoff and review process, with measures for reopened cases, customer experience and cost per resolved request.

  • Agents repeatedly search for the same policy or explain the same next step.
  • Customers repeat their situation when a request moves between teams.
  • A high response count hides unresolved cases, repeat contacts and reopened tickets.

A scope you can inspect

Agree what gets delivered, what good work looks like, and who takes ownership. Open each part to explore the detail.

A defined service scope

Start with requests the team can evaluate.

An agreed set of request types, allowed actions and escalation triggers keeps the initial implementation focused on work you can evaluate.

A question we resolve together

Which requests and actions are in scope, and when must a person take over?

Answers tied to approved knowledge

Customers receive information the business owns.

Relevant policies and service information provide the basis for responses, with content ownership and updates included in the operating plan.

A question we resolve together

Who approves the answer sources and updates them when policy changes?

A useful handoff to staff

Staff can pick up where the conversation left off.

Case summaries, customer context and routing details help the receiving team pick up the request and see what has already happened.

A question we resolve together

Does the receiving person get the history and context needed to act?

A service quality review

Quality follows the request through to resolution.

Test cases and a review process examine completed interactions, unresolved needs and whether escalations reach the right person with enough information.

A question we resolve together

Was the customer's request resolved, or did it return through another channel?

Follow the request through to resolution

Response volume alone cannot show whether a customer was helped. We review resolved requests, repeat contact and the quality of each handoff to your team.

Our approach to measurement

Evidence for the decision

Verified resolution of eligible requests
Agree what a resolved request means before counting completed interactions.
Repeat contact and reopened cases
Track requests that return so a quick reply is not mistaken for a solution.
Escalation accuracy and handoff completeness
Review whether the right person received the request with sufficient context.
Total cost per resolved case
Include AI usage, staff time, review and follow-up for the same service scope.

Agree the starting point, review period and accountable owner before comparing results.

From the first conversation to useful work

Bring a sample of recurring requests, the information staff use to answer them and the people responsible for service quality. We will identify a focused starting point.

  1. Review the request mix

    Inspect representative cases with service staff. Identify repeated needs, policy ambiguity and situations that require judgment or account access.

  2. Set the boundaries

    Agree response sources, permitted actions, customer disclosures and handoff rules. Define resolution in terms of the customer's completed request.

  3. Test difficult conversations

    Evaluate unclear questions, missing information, frustrated customers and out-of-scope requests alongside routine cases before broadening access.

  4. Review the service outcome

    Track resolution and repeat contact with the service owner. Update the workflow when policy changes or recurring failure patterns appear.

Before we begin

Related serviceKnowledge and document AI

Can we start with help for our agents?

Yes. An internal assistant for finding answers or drafting replies can be an appropriate first scope. Staff remain responsible for reviewing and sending the response.

What happens when the AI cannot help?

The workflow should acknowledge its limits and route the request to the agreed team. We test the handoff and the context staff receive, as well as the answer itself.

Does this include round-the-clock human support?

Human support availability and response expectations are agreed in the service scope. An automated channel's availability is separate from the hours when staff can act on an escalation.

Make more room for better service

Talk us through the requests taking up your team’s time. We’ll explore where AI can help customers and where your people should take over.

Let’s talk about your business